What is the key difference between Mcp Server and Llm Latency Tracker?

Mcp Server belongs to the Monitoring category with local stdio execution, while Llm Latency Tracker belongs to the Monitoring category with local stdio execution.

How do I install Mcp Server or Llm Latency Tracker in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Mcp Server and Llm Latency Tracker free or paid?

Mcp Server operates under a Free / Open Source model (No auth required). Llm Latency Tracker operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Mcp Server lists 11 tools with 0 views and 7 GitHub stars. Llm Latency Tracker lists 0 tools with 0 views and 0 GitHub stars.

Can I use both Mcp Server and Llm Latency Tracker together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

How do I install Mcp Server or Llm Latency Tracker in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Mcp Server and Llm Latency Tracker free to use, or do they require API keys?

Mcp Server is listed under a Free / Open Source model with No auth required . Llm Latency Tracker operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Mcp Server and Llm Latency Tracker at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both iris-eval-mcp-server and llm-latency-tracker as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Mcp Server has a Quality Score of 59 /100 ( Good ) with 0 views, 0 installs, and 7 GitHub stars. Llm Latency Tracker holds a Quality Score of 27 /100 ( Emerging ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Mcp Server vs Llm Latency Tracker

In-depth architectural comparison of the Mcp Server and Llm Latency Tracker MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Mcp Server

Monitoring · Local stdio

Quality: 59/100 (Good) | Auth: No auth required

Llm Latency Tracker

Monitoring · Local stdio

Quality: 27/100 (Emerging) | Auth: No auth required

Verdict Summary: Choose Mcp Server if you need specialized Monitoring tools running via a local process. Choose Llm Latency Tracker if your workspace requires Monitoring integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Mcp Server when:

You need dedicated capabilities in the Monitoring domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: log_trace, evaluate_output, get_traces.

Explore Mcp Server Details

Choose Llm Latency Tracker when:

You need dedicated capabilities in the Monitoring domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Llm Latency Tracker Details

Feature & Specification Comparison

Specification	Mcp Server iris-eval Monitoring	L Llm Latency Tracker Monitoring
Summary	MCP-native agent evaluation and observability server with trace logging, output quality evaluation, cost tracking, 12 built-in eval rules, real-time dashboard, and PII detection.	Measured latency & uptime for AI inference APIs, by region. Exposes a get_ai_api_latency tool.
Category & Scope	Monitoring	Monitoring

Tools & Capabilities Breakdown

Mcp Server Tools (11)

log_trace

evaluate_output

get_traces

list_rules

deploy_rule

delete_rule

delete_trace

evaluate_with_llm_judge

IRIS_ANTHROPIC_API_KEY

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Mcp Server Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "iris-eval-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@iris-eval/mcp-server"
      ]
    }
  }
}

Llm Latency Tracker Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "llm-latency-tracker": {
      "command": "npx",
      "args": [
        "-y",
        "llm-latency-tracker"
      ]
    }
  }
}

Frequently Asked Questions

Mcp Server is categorized under Monitoring and uses a local stdio subprocess. In contrast, Llm Latency Tracker belongs to Monitoring using local stdio subprocess. Select Mcp Server when you need capabilities focused on monitoring and Llm Latency Tracker when you require tools for monitoring.

More alternatives to Mcp Server More alternatives to Llm Latency Tracker Monitoring category hub